Evaluation of artifact subspace reconstruction for automatic artifact components removal in multi-channel EEG recordings

CY Chang, SH Hsu, L Pion-Tonachini… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Objective: Artifact subspace reconstruction (ASR) is an automatic, online-capable,
component-based method that can effectively remove transient or large-amplitude artifacts …

Identifying key factors for improving ICA‐based decomposition of EEG data in mobile and stationary experiments

M Klug, K Gramann - European Journal of Neuroscience, 2021 - Wiley Online Library
Recent developments in EEG hardware and analyses approaches allow for recordings in
both stationary and mobile settings. Irrespective of the experimental setting, EEG recordings …

Cognitive and neural correlates of loneliness and wisdom during emotional bias

G Grennan, PP Balasubramani, F Alim… - Cerebral …, 2021 - academic.oup.com
Loneliness and wisdom have opposing impacts on health and well-being, yet their neuro-
cognitive bases have never been simultaneously investigated. In this study of 147 healthy …

[HTML][HTML] Mapping cognitive brain functions at scale

PP Balasubramani, A Ojeda, G Grennan, V Maric, H Le… - NeuroImage, 2021 - Elsevier
A fundamental set of cognitive abilities enable humans to efficiently process goal-relevant
information, suppress irrelevant distractions, maintain information in working memory, and …

DGAFF: Deep genetic algorithm fitness Formation for EEG Bio-Signal channel selection

G Ghorbanzadeh, Z Nabizadeh, N Karimi… - … Signal Processing and …, 2023 - Elsevier
Brain-computer interface systems aim to facilitate human–computer interactions by directly
translating brain signals for computers. Recently, using many electrodes has led to better …

[HTML][HTML] EEG source derived salience network coupling supports real-world attention switching

A Ojeda, M Wagner, V Maric, D Ramanathan, J Mishra - Neuropsychologia, 2023 - Elsevier
While the brain mechanisms underlying selective attention have been studied in great detail
in controlled laboratory settings, it is less clear how these processes function in the context …

Electrophysiological correlates of rodent default-mode network suppression revealed by large-scale local field potential recordings

L Fakhraei, M Francoeur… - Cerebral cortex …, 2021 - academic.oup.com
The default-mode network (DMN) in humans consists of a set of brain regions that, as
measured with functional magnetic resonance imaging (fMRI), show both intrinsic …

What's that on your phone? Effects of mobile device task type on pedestrian performance

E Labonte-LeMoyne, AF Cameron, S Senecal… - Human …, 2024 - journals.sagepub.com
Background The number of accidents due to distracted pedestrian is on the rise and many
governments and institutions are enacting public policies which restrict texting while …

Bayesian spatiotemporal modeling for inverse problems

S Lan, S Li, M Pasha - Statistics and Computing, 2023 - Springer
Inverse problems with spatiotemporal observations are ubiquitous in scientific studies and
engineering applications. In these spatiotemporal inverse problems, observed multivariate …

Mapping large-scale networks associated with action, behavioral inhibition and impulsivity

L Fakhraei, M Francoeur, P Balasubramani, T Tang… - ENeuro, 2021 - eneuro.org
A key aspect of behavioral inhibition is the ability to wait before acting. Failures in this form of
inhibition result in impulsivity and are commonly observed in various neuropsychiatric …